Aibek Makazhanov


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Manual vs Automatic Bitext Extraction
Aibek Makazhanov | Bagdat Myrzakhmetov | Zhenisbek Assylbekov
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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Character-Aware Neural Morphological Disambiguation
Alymzhan Toleu | Gulmira Tolegen | Aibek Makazhanov
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

We develop a language-independent, deep learning-based approach to the task of morphological disambiguation. Guided by the intuition that the correct analysis should be “most similar” to the context, we propose dense representations for morphological analyses and surface context and a simple yet effective way of combining the two to perform disambiguation. Our approach improves on the language-dependent state of the art for two agglutinative languages (Turkish and Kazakh) and can be potentially applied to other morphologically complex languages.


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Assembling the Kazakh Language Corpus
Olzhas Makhambetov | Aibek Makazhanov | Zhandos Yessenbayev | Bakhyt Matkarimov | Islam Sabyrgaliyev | Anuar Sharafudinov
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing